{"title":"Fault detection and resolution based on extended time failure propagation graphs","authors":"L. Troiano, A. Cerbo, M. Tipaldi, M. Vitelli","doi":"10.1109/SOCPAR.2013.7054155","DOIUrl":null,"url":null,"abstract":"FDIR functionalities are investigated since the very beginning of a space mission and play a relevant role in the definition of its autonomy, reliability and availability objectives. In this paper, an analytical methodology derived from the Timed Failure Propagation Graph (ETFPG) is proposed. TPFG is a causal model that captures the temporal aspects of failure propagation in a wide variety of engineering systems. It has been extended in order to incorporate the recovery actions as well as to accommodate the dependencies on the mission phases and spacecraft operational modes in the related graphs. The proposed methodology has proved to be very useful in the context of the trouble identification and shooting of complex system, such a satellite.","PeriodicalId":315126,"journal":{"name":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Soft Computing and Pattern Recognition (SoCPaR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCPAR.2013.7054155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault detection and resolution based on extended time failure propagation graphs
FDIR functionalities are investigated since the very beginning of a space mission and play a relevant role in the definition of its autonomy, reliability and availability objectives. In this paper, an analytical methodology derived from the Timed Failure Propagation Graph (ETFPG) is proposed. TPFG is a causal model that captures the temporal aspects of failure propagation in a wide variety of engineering systems. It has been extended in order to incorporate the recovery actions as well as to accommodate the dependencies on the mission phases and spacecraft operational modes in the related graphs. The proposed methodology has proved to be very useful in the context of the trouble identification and shooting of complex system, such a satellite.